Acknowledgements¶
Sugaroid AI has become possible to millions of open source
developers. Particularly to mention, I would like to thank
@GuntherCox for the chatterbot
library and @explosion
for spaCy , the machine
learning library with which it was possible to make natural language
processing easy as pie. Also, the millions of word collection on
en_core_web_sm
, en_core_web_md
was contributed by developers
across the globe for translation and linguistic differentiation. Special
thanks to contributors, Sreya Saju (aka
@sreyasaju) and Joel Anil Chacko
(aka @TheDarkDrake) for helping me
document the missed parts, bug triaging and adding more responses,
Sruthi Raj (aka @blackxspade) and
Mathew K George (aka @Mat-Geo) for continuous bug triaging, and
improving the sugaroid database, datasets and Azra M Riyaz
for continuous testing and bug triaging. I
would also like to thank, Sugar Labs 2019 GCI Team, Sashreek Magan
(aka @smag), Andrea Gonzales (aka
@andreagon), Zakiyah Hasanah (aka
@kiy4h), Rishikesh Joshi (aka
@Creatune), Szymon (aka
@sdziuda) and Marcus Chong (aka
@pidddgy) for continuous testing on
servers and reporting bugs. It is only possible to rectify bugs with the
help of repeated testing. I would like to thank Kunhappu Andezhath for his moral support
and contribution to wh- type datasets. I would also like to thank
friends and family who also helped me to work on this project. Along
with this, I would like to extend gratitude to Microsoft for
sponsoring Sugaroid’s hosting on
Azure.